Build custom code-based evaluators in Amazon Bedrock AgentCore

📰 AWS Machine Learning

Learn to build custom code-based evaluators in Amazon Bedrock AgentCore for a financial market-intelligence agent

intermediate Published 18 May 2026
Action Steps
  1. Build a Lambda function for a custom code evaluator
  2. Register the evaluator with AgentCore
  3. Run the evaluator in on-demand mode
  4. Combine the custom evaluator with built-in evaluators
  5. Call other AWS services for fact-checking and alerting
Who Needs to Know This

Machine learning engineers and developers can benefit from this tutorial to create custom evaluators for their agents, enhancing the capabilities of their ML models

Key Insight

💡 Custom code-based evaluators can be used to extend the capabilities of AgentCore and integrate with other AWS services

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Build custom code evaluators in Amazon Bedrock AgentCore for financial market intelligence #AWSMachineLearning #AgentCore
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